operation.h File Reference

Operation node can generate one or multiple Tensors. More...

#include <tvm/arith/analyzer.h>
#include <tvm/te/tensor.h>
#include <tvm/tir/buffer.h>
#include <tvm/tir/expr.h>
#include <tvm/tir/op.h>
#include <string>
#include <unordered_map>
#include <vector>

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Classes
struct	tvm::te::TensorDom
	Temporary data structure to store union of bounds of each axis of Tensor. More...
class	tvm::te::OperationNode
	Base class of all operation nodes. More...
class	tvm::te::PlaceholderOpNode
	A placeholder op represents an input placeholder. More...
class	tvm::te::PlaceholderOp
	Managed reference to PlaceholderOpNode. More...
class	tvm::te::BaseComputeOpNode
	A Compute op that compute a tensor on certain domain. This is the base class for ComputeOp (operating on a scalar at a time) More...
class	tvm::te::ComputeOpNode
	A Compute op that compute a tensor on certain domain. More...
class	tvm::te::ComputeOp
	Managed reference to ComputeOpNode. More...
class	tvm::te::ScanOpNode
	Symbolic scan. More...
class	tvm::te::ScanOp
	Managed reference to ScanOpNode. More...
class	tvm::te::ExternOpNode
	External computation that cannot be splitted. More...
class	tvm::te::ExternOp
	Managed reference to ExternOpNode. More...

Namespaces
	tvm
	Performance counters for profiling via the PAPI library.
	tvm::te
	Tensor expression language DSL.

Typedefs
using	tvm::te::FCompute = std::function< PrimExpr(const Array< Var > &i)>
	The compute function to specify the input source of a Tensor. More...
using	tvm::te::FBatchCompute = std::function< Array< PrimExpr >(const Array< Var > &i)>
	The compute function to specify the inputs source of Tensors. More...

Functions
Var	tvm::te::var (std::string name_hint, DataType t=DataType::Int(32))
	Construct a new Var expression. More...
IterVar	tvm::te::thread_axis (Range dom, std::string tag)
	Create a new IterVar that represents an axis in thread. More...
IterVar	tvm::te::reduce_axis (Range dom, std::string name="rv")
	Create a new IterVar for reduction operations. More...
Tensor	tvm::te::placeholder (Array< PrimExpr > shape, DataType dtype=DataType::Float(32), std::string name="placeholder")
	create a place holder tensor. More...
Tensor	tvm::te::compute (Array< PrimExpr > shape, FCompute fcompute, std::string name="tensor", std::string tag="", Map< String, ObjectRef > attrs={})
	Construct a new tensor by computing over shape, using the computation rule: result_tensor[axis] = fcompute(axis) More...
Array< Tensor >	tvm::te::compute (Array< PrimExpr > shape, FBatchCompute fcompute, std::string name="tensor", std::string tag="", Map< String, ObjectRef > attrs={})
	Construct a new tensor by computing over shape, using the computation rule: result_tensor[axis] = fcompute(axis) More...
Array< Tensor >	tvm::te::scan (Array< Tensor > init, Array< Tensor > update, Array< Tensor > state_placeholder, Array< Tensor > inputs=Array< Tensor >(), std::string name="scan", std::string tag="", Map< String, ObjectRef > attrs={})
	Construct new tensors by scan. More...
Tensor	tvm::te::compute (Array< PrimExpr > shape, std::function< PrimExpr(Var)> f, std::string name="tensor", std::string tag="", Map< String, ObjectRef > attrs={})
Tensor	tvm::te::compute (Array< PrimExpr > shape, std::function< PrimExpr(Var, Var)> f, std::string name="tensor", std::string tag="", Map< String, ObjectRef > attrs={})
Tensor	tvm::te::compute (Array< PrimExpr > shape, std::function< PrimExpr(Var, Var, Var)> f, std::string name="tensor", std::string tag="", Map< String, ObjectRef > attrs={})
Tensor	tvm::te::compute (Array< PrimExpr > shape, std::function< PrimExpr(Var, Var, Var, Var)> f, std::string name="tensor", std::string tag="", Map< String, ObjectRef > attrs={})

Detailed Description

Operation node can generate one or multiple Tensors.